Bao Huynh

Orcid: 0000-0002-1882-6877

According to our database1, Bao Huynh authored at least 23 papers between 2017 and 2024.

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Bibliography

2024
Mining Association Rules from a Single Large Graph.
Cybern. Syst., April, 2024

New approaches for mining high utility itemsets with multiple utility thresholds.
Appl. Intell., January, 2024

An efficient strategy for mining high-efficiency itemsets in quantitative databases.
Knowl. Based Syst., 2024

Forecasting a Journal Impact Factor Under Missing Values Based on Machine Learning.
IEEE Access, 2024

2023
Mining Weighted Sequential Patterns Based on Prefix-Tree and Prism Encoding.
Vietnam. J. Comput. Sci., August, 2023

2022
Optimized fuzzy clustering using moth-flame optimization algorithm in wireless sensor networks.
Artif. Intell. Rev., 2022

2021
RENT: A Python Package for Repeated Elastic Net Feature Selection.
J. Open Source Softw., 2021

A Novel Approach for Mining Closed Clickstream Patterns.
Cybern. Syst., 2021

Mining colossal patterns with length constraints.
Appl. Intell., 2021

Efficient Methods for Clickstream Pattern Mining on Incremental Databases.
IEEE Access, 2021

2020
Impact of Community Structure on Consensus Machine Learning.
CoRR, 2020

A Novel Lightweight Block Cipher-Based Mutual Authentication Protocol for Constrained Environments.
IEEE Access, 2020

A Hybrid Service Selection and Composition Model for Cloud-Edge Computing in the Internet of Things.
IEEE Access, 2020

A New Strong Adversary Model for RFID Authentication Protocols.
IEEE Access, 2020

An Enhanced Authentication Protocol for RFID Systems.
IEEE Access, 2020

Efficient Method for Mining High-Utility Itemsets Using High-Average Utility Measure.
Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2018
An efficient approach for mining sequential patterns using multiple threads on very large databases.
Eng. Appl. Artif. Intell., 2018

An Efficient Method for Mining Erasable Itemsets Using Multicore Processor Platform.
Complex., 2018

Mining constrained inter-sequence patterns: a novel approach to cope with item constraints.
Appl. Intell., 2018

An Efficient Method for Mining Clickstream Patterns.
Proceedings of the Rough Sets - International Joint Conference, 2018

2017
An efficient method for mining frequent sequential patterns using multi-Core processors.
Appl. Intell., 2017

An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns.
IEEE Access, 2017

Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017


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